Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

An Optical Random Number Generator for Monte Carlo Calculations

Not Accessible

Your library or personal account may give you access

Abstract

Many of the tasks that are performed on a digital computer require a source of random numbers that are independent and fit a specified probability density. The usual random number generator provides numbers that are uniformly distributed over the interval (0,1). A transformation is then employed to obtain deviates that follow the specified distribution. A complicated transformation can reduce the generation rate by as much as an order of magnitude or more.

© 1985 Optical Society of America

PDF Article
More Like This
Optical generation of random numbers: theory and experiments

Anthony J. Martino and G. Michael Morris
TUE2 OSA Annual Meeting (FIO) 1985

Monte Carlo Matrix Inversion Using an Optical Random Number Generator

Anthony J. Martino and G. Michael Morris
MD8 Optical Computing (IP) 1987

Monte-Carlo Processor Arrays Using Optical Random Number Generators

F. Devos, K. Madani, P. Chavel, and J. Taboury
MD9 Optical Computing (IP) 1987

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.